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Ornith 1M Context
Collection
Ornith-1.0 with YaRN 1M context, needle-certified, MTP speculative decoding and vision. Full quant ladders on ModelScope. • 3 items • Updated
All GGUF files live on ModelScope
Download here: modelscope.ai/models/satgeze/Ornith-1.0-397B-1M-GGUF
This Hugging Face repo is a pointer page. The 397B quants are large (426 GB across IQ1_M, IQ2_M, and Q4_K_M splits), and the full set is hosted and verified on the ModelScope mirror to keep this account inside storage limits. Nothing was discontinued; the files are simply one click away.
Every file, every mirror
Nothing was discontinued: every quant is one click away. Hugging Face carries the curated picks, ModelScope always carries everything, and Ollama serves ready-to-run tags.
| File | Size | Hugging Face | ModelScope | Ollama |
|---|---|---|---|---|
ornith-1.0-397b-1M-IQ1_M-00001-of-00003.gguf |
39.8 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-IQ1_M-00002-of-00003.gguf |
39.5 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-IQ1_M-00003-of-00003.gguf |
12.1 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-IQ2_M-00001-of-00004.gguf |
39.3 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-IQ2_M-00002-of-00004.gguf |
40.0 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-IQ2_M-00003-of-00004.gguf |
39.6 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-IQ2_M-00004-of-00004.gguf |
14.3 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00001-of-00007.gguf |
39.0 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00002-of-00007.gguf |
39.5 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00003-of-00007.gguf |
38.9 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00004-of-00007.gguf |
39.0 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00005-of-00007.gguf |
39.4 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00006-of-00007.gguf |
39.3 GB | on ModelScope | download | - |
ornith-1.0-397b-1M-Q4_K_M-00007-of-00007.gguf |
6.8 GB | on ModelScope | download | - |
What the ModelScope repo contains
DeepReinforce's Ornith-1.0-397B (397B MoE, Qwen3.5 family) with YaRN RoPE scaling baked into GGUF metadata for a 1,048,576-token context window, 4x the native 262,144. Weights bit-identical to the original; only rope metadata differs.
| Quant | Size | Runs on |
|---|---|---|
| IQ1_M (3 split files) | 91 GB | 128 GB Mac (tested: it runs) |
| IQ2_M (4 split files) | 132 GB | 192 GB+ unified or multi-GPU |
| Q4_K_M (7 split files) | 241 GB | Server class, 256 GB+ |
Needle certification for this size class is pending a GPU-pod session; the 9B and 35B repos carry fully certified ladders of the same recipe. MTP note: the official 397B checkpoint includes an MTP layer (config mtp_num_hidden_layers: 1) that GGUF conversions dropped; restoring it by extraction is on the roadmap.
Run it
llama-server -m ornith-1.0-397b-1M-IQ1_M-00001-of-00003.gguf -c 262144 -np 1 --jinja
llama.cpp loads split GGUFs automatically from the first part. Start at 262K and raise context per available memory; KV runs about 30 KB per token (15 of 60 layers full attention).
Credits
Ornith-1.0: DeepReinforce (MIT), post-trained on Qwen 3.5. 1M YaRN extension: SatGeze. Method and harness: github.com/satindergrewal/aviary-1m.
Model tree for satgeze/Ornith-1.0-397B-1M-GGUF
Base model
deepreinforce-ai/Ornith-1.0-397B-FP8